Autonomous Systems Validation Intern

Zipline; South San Francisco (CA); On-site; USD 72,000 - 83,000; Full time

Benefits offered by this job

Housing stipend

relocation support

Overtime pay

Paid sick time

Job summary

Zipline’s Software Systems Validation team ensures that the software powering our autonomous delivery aircraft works reliably, safely, and as intended in the real world. We operate at the system level, validating navigation, perception, controls, planning, and actuation across the globe.

As a Software Systems Validation Intern, you’ll help build tests, tools, metrics, and visualizations that reveal system performance and reliability before flight.

Qualifications

• Completed the second year of undergraduate studies in CS/Software Engineering, Aerospace Engineering, Robotics, or a related field.
• Coursework or project experience in robotics, controls, estimation, navigation, perception, or software development.
• Familiarity with testing, debugging, or validation methodologies.
• Experience with data analysis using Python, SQL, or similar.

Responsibilities

• Assist design and execution of test scenarios across the autonomous software stack.
• Develop and improve validation tools, workflows, and automation.
• Create visualizations or metrics to highlight performance trends and regressions.
• Collaborate with test infrastructure and data platform teams to run validation pipelines.
• Analyze results and help identify root causes of failures, documenting findings for engineers.

Skills

Python

SQL

C/C++

Data analysis

Robotics coursework

Education

Undergraduate 2nd year

CS/Software Engineering/Aerospace/Robotics

Tools

Testing frameworks

Validation tools

Job description

Zipline’s Software Systems Validation team ensures that the software powering our autonomous delivery aircraft works reliably, safely, and as intended in the real world. We operate at the system level, validating navigation, perception, controls, planning, and actuation across the globe.

As a Software Systems Validation Intern, you’ll help build tests, tools, metrics, and visualizations that reveal system performance and reliability before flight.